Image Processing Apparatus Texture Reproduction
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Solution Overview
Problem
Current techniques for acquiring and processing bidirectional reflectance distribution function (BRDF) data are time-consuming and require extensive calculations due to the need for capturing images from multiple angles, making it inefficient for accurately capturing object surface texture.
Innovation Solution
An image processing apparatus that acquires diffuse and specular reflection images and uses a saturation difference calculation to determine the metal gloss level, allowing for the reproduction of object surface texture with reduced image data and calculations by comparing the images captured at different incident angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If BRDF data is acquired by measuring reflectance distribution with changing incident angle and light receiving angle, then accurate object surface texture is obtained, but processing time becomes excessively long
Solution Approach 1:
The patent extracts only the essential reflection characteristics (diffuse and specular components) from the complex BRDF measurement process. By separating diffuse reflection images and specular reflection images and processing them independently with simplified algorithms, the method obtains accurate surface texture information without requiring full BRDF measurement across multiple angles, thus significantly reducing processing time while maintaining measurement precision.
2Measurement precision
If images are captured from a large number of angles to obtain accurate gloss information, then surface texture accuracy is improved, but the amount of calculation required increases enormously
Solution Approach 1:
The patent segments the reflection information into two distinct components: diffuse reflection images and specular reflection images. Each component is processed using dedicated simplified algorithms rather than applying complex BRDF calculations to all images. This segmentation maintains accurate gloss information extraction while dramatically reducing calculation complexity by avoiding the need to process large numbers of multi-angle images through intensive computational models.
3Measurement precision
If a large number of image data are used to express object surface texture, then texture reproduction accuracy is improved, but data processing efficiency decreases
Solution Approach 1:
The patent creates simplified representations (copies) of the complex reflection data by generating diffuse reflection images and specular reflection images that capture the essential surface texture characteristics. These simplified image copies contain the necessary information for accurate texture reproduction but require far less data storage and processing power than the original large-scale multi-angle image datasets, thereby improving data processing efficiency while maintaining texture reproduction accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient extraction and reproduction of object surface texture with less data and computation, accurately distinguishing between metal and non-metal gloss, and reducing the time required for image processing.
Implementation Method 1
acquires a diffuse reflection image of an object surface and a specular reflection image of the object surface
Implementation Method 2
acquires a diffuse reflection image of an object surface and a specular reflection image of the object surface
Data Source
AI summary
An image processing apparatus includes an acquisition unit that acquires a diffuse reflection image of an object surface and a specular reflection image of the object surface, and a reproduction unit that reproduces the object surface such that illumination color is darker as saturation of the diffuse reflection image or a value representing the saturation is higher than of the specular reflection image, by using the diffuse reflection image and the specular reflection image.